Principal Data Engineer

Autodesk
United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$128,000.0 - $229,900.0
Working hours
Regular working hours
Job source

Tech stack

Query Performance Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Apache HTTP Server Software Quality Continuous Integration Data Cleansing Information Engineering Data Governance Extract Transform Load (ETL) GEOS
+21 more
Apache Hive Operational Databases Cloud Services DataOps SQL Databases Systems Integration Enterprise Data Management Snowflake Generative AI Cloudformation Event Driven Architecture Data Lakes Information Technology Apache Flink Real Time Data Data Management Terraform Stream Processing Autodesk Autocad Data Pipelines User Identification

Job description

We are hiring a Principal Data Engineer to join Autodesk’s Enterprise Data Management (EDM) team within the COO-GET organization. In this senior technical leadership role you will lead the design and delivery of scalable data platform services, robust data products, and enterprise-wide data engineering standards that power canonical records and analytics across the company. You will partner across product, platform, and business stakeholders to translate complex business needs into pragmatic, high-quality technical solutions and to raise engineering maturity across multiple teams. Familiarity with master data management, data enrichment, identity resolution, and data quality practices is a plus., * Act as a technical leader and force multiplier across multiple data engineering teams: coach, mentor, and raise the bar on code quality, testing, and delivery practices

  • Define and own architecture and standards for data platform services, including data modeling, ETL/ELT patterns, metadata, and data governance
  • Lead design and delivery of robust, performant data pipelines and data products using modern cloud data platforms (e.g., Snowflake), orchestration, and transformation tooling (dbt or similar)
  • Drive DataOps maturity: testing frameworks, automated quality gates, CI/CD, observability, incident response, and runbooks for production data workloads
  • Solve complex, enterprise-scale data engineering challenges (record reconciliation, identity/organizational hierarchies, lineage, scale/performance)
  • Lead root-cause analysis and durable remediation for complex production incidents; enable teams to prevent recurrence
  • Collaborate closely with product managers, data stewards, analytics, ML, and business stakeholders to prioritize high-impact initiatives and translate requirements into scalable engineering solutions
  • Provide hands-on implementation as needed (POC, spike, or production work), and lead technical decision-making across teams
  • Design and operationalize real-time/near-real-time data paths and evented architectures as appropriate to use cases.

Requirements

  • BS/MS in Computer Science or a related technical field, or equivalent practical experience
  • 10+ years of hands-on software and data engineering experience in enterprise environments
  • Deep, demonstrable expertise with SQL, hive, dbt, Python & Snowflake, and modern data engineering tooling (Snowflake and dbt or comparable technologies)
  • Strong experience designing data models (conceptual, logical, physical) and optimizing query performance at scale
  • Practical experience with data lake table formats and query engines (for example, Apache Hive, Apache Iceberg)
  • Extensive AWS experience and comfortable designing solutions using cloud services and IaC (Terraform/CloudFormation)
  • Track record of leading architecture and solution design for complex, cross-team systems
  • Demonstrated ownership of data quality frameworks, observability, and production reliability for data workloads
  • Excellent communication skills and experience influencing stakeholders across GEOs and functions
  • Proven experience mentoring engineers and elevating team delivery practices., * Prior experience in ingesting, aggregating, event streams, web & product analytics data
  • Practical experience with streaming/event-driven architectures and stream processing frameworks (for example, Apache Flink)
  • Familiarity with search/indexing systems and integrating with data APIs
  • Experience operationalizing ML/AI or GenAI capabilities on enterprise data platforms

Benefits & conditions

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $128,000 and $229,900. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we’re building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

About the company

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · WWC 2022

2:09 min

Utilizing global edge nodes and geo-routing strategies

Josip Stuhli Josip Stuhli · WWC 2023

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

Videos

See all

Related articles

See all